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THE LOW BACKSCATTERING OBJECTS CLASSIFICATION IN POLSAR IMAGE BASED ON BAG OF WORDS MODEL USING SUPPORT VECTOR MACHINE
Low Backscattering Objects Bag of Words SIFT features Support Vector Machine
2018/5/16
Due to the forward scattering and block of radar signal, the water, bare soil, shadow, named low backscattering objects (LBOs), often present low backscattering intensity in polarimetric synthetic ape...
POLARIMETRIC SIGNATURES IDENTIFICATION FOR DIFFERENT FEATURES IN RADARSAT-2 POLSAR IMAGE:A CASE STUDY OF HALAYIB AREA,EGYPT
Radarsat-2 PolSAR Polarimetric signatures Pauli decomposition Co-polarization and cross-polarization signature
2016/11/24
In fully polarized SAR (PolSAR) data the returned signal from a target contains all polarizations. More information about this target may be inferred with respect to single-polarization. Distinct pola...
HIGH RESOLUTION POLSAR IMAGE CLASSIFICATION BASED ON GENETIC ALGORITHM AND SUPPORT VECTOR MACHINE
PolSAR Classification Feature Selection GA SVM
2014/4/24
This paper focuses on backscattering mechanisms selection and supervised classification works for CETC38-X PolSAR image.
Thanks to the high radar resolution, many classes of man-made objects are vis...
PolSAR Image Segmentation by Mean Shift Clustering in the Tensor Space
Polarimetric synthetic aperture radar (PolSAR) image segmentation mean shift clustering Riemannian manifold
2010/3/29
We present an unsupervised segmentation algorithm for the
fully polarimetric synthetic aperture radar (PolSAR) data by
employing the mean shift clustering. The previous work using the
span values o...